Eye Tracking in the Age of AI: Explainability, Prediction, and Applications
A special issue of Journal of Eye Movement Research (ISSN 1995-8692).
Deadline for manuscript submissions: 20 November 2026 | Viewed by 128
Special Issue Editors
Interests: AI eye tracking; consumer neuroscience; neuromarketing; visual attention; human behavior prediction; decision-making; multimodal integration; EEG; applied neuroscience; digital consumer behavior
Interests: applied modeling and optimization; measurement systems; data analysis; chemometrics; NIR spectroscopy; process automation; food engineering; process control; mathematical modeling; multivariate analysis; nutrition; AI tools
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence is reshaping eye-tracking research by expanding its role from a measurement tool into a broader analytical and predictive framework for understanding human attention, cognition, and behavior. Recent advances in machine learning, computer vision, multimodal modeling, and wearable sensing have accelerated the use of AI-enhanced eye-tracking across a wide range of domains, including human–computer interaction, healthcare, immersive environments, education, driver monitoring, consumer neuroscience, and neuromarketing. At the same time, these developments raise important methodological questions concerning validity, interpretability, ecological relevance, reproducibility, and responsible use of behavioral data.
This Special Issue aims to bring together high-quality contributions that examine how AI-based eye-tracking technologies can be used to analyze, model, and predict human responses in both experimental and applied settings. We welcome original research, reviews, methodological papers, and interdisciplinary contributions addressing topics such as predictive gaze modeling, AI-supported analysis of eye-movement data, multimodal integration with EEG or other neurophysiological measures, visual attention and decision processes, user behavior in digital and physical environments, gaze-based interaction, and application-specific implementations in domains such as consumer research, medicine, education, XR/VR, and mobility.
We also encourage submissions that critically address the broader scientific implications of AI-enhanced eye tracking, including robustness, benchmarking, transparency, ethics, privacy, and the generalizability of predictive models across contexts and populations. By connecting methodological innovation with real-world applications, this Special Issue seeks to advance eye-tracking research as a key interface between computational intelligence and human behavior science.
Dr. Hedda Martina Šola
Prof. Dr. Jasenka Gajdoš Kljusurić
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Eye Movement Research is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI eye tracking
- predictive gaze modeling
- visual attention
- human behavior prediction
- consumer neuroscience
- neuromarketing
- multimodal integration
- EEG
- human–computer interaction
- XR/VR applications
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